Geochemical and mineralogical data

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Data associated with the manuscript: "Controls over cesium and rubidium contents of sedimentary rocks" by Jan Środoń and Karol Jewuła submitted to GCA. The data include five tables: 1) Supplementary Table 1 contains chemical analyses of clay fractions acquired in the course of this study. 2) Supplementary Table 2 contains quality control data for chemical analyses of clay fractions provided by Actlab Laboratories. 3) Supplementary Tables 3-5 contain quantitative XRD and chemical analyses of bulk rock samples used in this study: the Miocene, Keuper, and Ediacaran-Cambrian sets, respectively. The R script used for generating plots and linear regression is also provided.

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In nature, Cs and Rb follow K, which is a much more abundant but chemically similar element. Relative proportions of these elements and their mineral carriers were studied by the combined ICP-OES/ICP-MS techniques and quantitative XRD, respectively, supplemented by multivariate regression analysis, in order to detect controls over cesium and rubidium contents of clastic sedimentary rocks. The sample material was both clay fractions of bentonites and paleosols, dominated by illite-smectite, and bulk mudstones, sandstones, paleosols, bentonites, basalts, and tuffs from several European basins, ranging from the Proterozoic to Miocene. The mineralogical data were obtained via XRD methods (bulk and clay fractions). The chemical composition of all these samples (major, trace and REE) was measured by the ICP-OES/ICPMS technique (4Litho) in the Activation Laboratories, Ontario, Canada. The detection limits for Cs, Rb, and K2O are 0.5 ppm, 2 ppm, and 0.01 %, respectively. Quality control was performed by analyses of certified reference materials (Supplementary Table 2). To assess the relative contributions of Cs, Rb, and K from potential mineralogical carriers common in mudstones, such as K-feldspars (sum of microcline and orthoclase), micas (sum of dioctahedral 2M1 and trioctahedral mica) and 2:1 clays (sum of illite 1Md, Illite 1Mtv, illite-smectite, and dioctahedral smectite), simple multivariate regression analysis has been used. Multivariate regression was performed in the R Language and Environment for Statistical Computing using RStudio software (R Core Team, 2020).

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